path: "tensorflow"
tf_module {
  member {
    name: "AUTO_REUSE"
    mtype: "<enum \'_ReuseMode\'>"
  }
  member {
    name: "AggregationMethod"
    mtype: "<type \'type\'>"
  }
  member {
    name: "AttrValue"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "COMPILER_VERSION"
    mtype: "<type \'str\'>"
  }
  member {
    name: "CXX11_ABI_FLAG"
    mtype: "<type \'int\'>"
  }
  member {
    name: "ConditionalAccumulator"
    mtype: "<type \'type\'>"
  }
  member {
    name: "ConditionalAccumulatorBase"
    mtype: "<type \'type\'>"
  }
  member {
    name: "ConfigProto"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "CriticalSection"
    mtype: "<type \'type\'>"
  }
  member {
    name: "DType"
    mtype: "<type \'type\'>"
  }
  member {
    name: "DeviceSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Dimension"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Event"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "FIFOQueue"
    mtype: "<type \'type\'>"
  }
  member {
    name: "FixedLenFeature"
    mtype: "<type \'type\'>"
  }
  member {
    name: "FixedLenSequenceFeature"
    mtype: "<type \'type\'>"
  }
  member {
    name: "FixedLengthRecordReader"
    mtype: "<type \'type\'>"
  }
  member {
    name: "GIT_VERSION"
    mtype: "<type \'str\'>"
  }
  member {
    name: "GPUOptions"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "GRAPH_DEF_VERSION"
    mtype: "<type \'int\'>"
  }
  member {
    name: "GRAPH_DEF_VERSION_MIN_CONSUMER"
    mtype: "<type \'int\'>"
  }
  member {
    name: "GRAPH_DEF_VERSION_MIN_PRODUCER"
    mtype: "<type \'int\'>"
  }
  member {
    name: "GradientTape"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Graph"
    mtype: "<type \'type\'>"
  }
  member {
    name: "GraphDef"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "GraphKeys"
    mtype: "<type \'type\'>"
  }
  member {
    name: "GraphOptions"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "HistogramProto"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "IdentityReader"
    mtype: "<type \'type\'>"
  }
  member {
    name: "IndexedSlices"
    mtype: "<type \'type\'>"
  }
  member {
    name: "InteractiveSession"
    mtype: "<type \'type\'>"
  }
  member {
    name: "LMDBReader"
    mtype: "<type \'type\'>"
  }
  member {
    name: "LogMessage"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "MONOLITHIC_BUILD"
    mtype: "<type \'int\'>"
  }
  member {
    name: "MetaGraphDef"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "Module"
    mtype: "<type \'type\'>"
  }
  member {
    name: "NameAttrList"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "NodeDef"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "OpError"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Operation"
    mtype: "<type \'type\'>"
  }
  member {
    name: "OptimizerOptions"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "PaddingFIFOQueue"
    mtype: "<type \'type\'>"
  }
  member {
    name: "PriorityQueue"
    mtype: "<type \'type\'>"
  }
  member {
    name: "QUANTIZED_DTYPES"
    mtype: "<type \'frozenset\'>"
  }
  member {
    name: "QueueBase"
    mtype: "<type \'type\'>"
  }
  member {
    name: "RaggedTensor"
    mtype: "<type \'type\'>"
  }
  member {
    name: "RandomShuffleQueue"
    mtype: "<type \'type\'>"
  }
  member {
    name: "ReaderBase"
    mtype: "<type \'type\'>"
  }
  member {
    name: "RegisterGradient"
    mtype: "<type \'type\'>"
  }
  member {
    name: "RunMetadata"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "RunOptions"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "Session"
    mtype: "<type \'type\'>"
  }
  member {
    name: "SessionLog"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "SparseConditionalAccumulator"
    mtype: "<type \'type\'>"
  }
  member {
    name: "SparseFeature"
    mtype: "<type \'type\'>"
  }
  member {
    name: "SparseTensor"
    mtype: "<type \'type\'>"
  }
  member {
    name: "SparseTensorValue"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Summary"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "SummaryMetadata"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "TFRecordReader"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Tensor"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TensorArray"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TensorInfo"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "TensorShape"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TensorSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TextLineReader"
    mtype: "<type \'type\'>"
  }
  member {
    name: "UnconnectedGradients"
    mtype: "<class \'enum.EnumMeta\'>"
  }
  member {
    name: "VERSION"
    mtype: "<type \'str\'>"
  }
  member {
    name: "VarLenFeature"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Variable"
    mtype: "<class \'tensorflow.python.ops.variables.VariableMetaclass\'>"
  }
  member {
    name: "VariableAggregation"
    mtype: "<class \'enum.EnumMeta\'>"
  }
  member {
    name: "VariableScope"
    mtype: "<type \'type\'>"
  }
  member {
    name: "VariableSynchronization"
    mtype: "<class \'enum.EnumMeta\'>"
  }
  member {
    name: "WholeFileReader"
    mtype: "<type \'type\'>"
  }
  member {
    name: "app"
    mtype: "<type \'module\'>"
  }
  member {
    name: "audio"
    mtype: "<type \'module\'>"
  }
  member {
    name: "autograph"
    mtype: "<type \'module\'>"
  }
  member {
    name: "bfloat16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "bitwise"
    mtype: "<type \'module\'>"
  }
  member {
    name: "bool"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "compat"
    mtype: "<type \'module\'>"
  }
  member {
    name: "complex128"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "complex64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "config"
    mtype: "<type \'module\'>"
  }
  member {
    name: "constant_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "data"
    mtype: "<type \'module\'>"
  }
  member {
    name: "debugging"
    mtype: "<type \'module\'>"
  }
  member {
    name: "distribute"
    mtype: "<type \'module\'>"
  }
  member {
    name: "distributions"
    mtype: "<type \'module\'>"
  }
  member {
    name: "double"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "dtypes"
    mtype: "<type \'module\'>"
  }
  member {
    name: "errors"
    mtype: "<type \'module\'>"
  }
  member {
    name: "estimator"
    mtype: "<type \'module\'>"
  }
  member {
    name: "experimental"
    mtype: "<type \'module\'>"
  }
  member {
    name: "feature_column"
    mtype: "<type \'module\'>"
  }
  member {
    name: "flags"
    mtype: "<type \'module\'>"
  }
  member {
    name: "float16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "float32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "float64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "gfile"
    mtype: "<type \'module\'>"
  }
  member {
    name: "glorot_normal_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "glorot_uniform_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "graph_util"
    mtype: "<type \'module\'>"
  }
  member {
    name: "half"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "image"
    mtype: "<type \'module\'>"
  }
  member {
    name: "initializers"
    mtype: "<type \'module\'>"
  }
  member {
    name: "int16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "int32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "int64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "int8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "io"
    mtype: "<type \'module\'>"
  }
  member {
    name: "keras"
    mtype: "<type \'module\'>"
  }
  member {
    name: "layers"
    mtype: "<type \'module\'>"
  }
  member {
    name: "linalg"
    mtype: "<type \'module\'>"
  }
  member {
    name: "lite"
    mtype: "<type \'module\'>"
  }
  member {
    name: "logging"
    mtype: "<type \'module\'>"
  }
  member {
    name: "lookup"
    mtype: "<type \'module\'>"
  }
  member {
    name: "losses"
    mtype: "<type \'module\'>"
  }
  member {
    name: "manip"
    mtype: "<type \'module\'>"
  }
  member {
    name: "math"
    mtype: "<type \'module\'>"
  }
  member {
    name: "metrics"
    mtype: "<type \'module\'>"
  }
  member {
    name: "name_scope"
    mtype: "<type \'type\'>"
  }
  member {
    name: "nest"
    mtype: "<type \'module\'>"
  }
  member {
    name: "newaxis"
    mtype: "<type \'NoneType\'>"
  }
  member {
    name: "nn"
    mtype: "<type \'module\'>"
  }
  member {
    name: "ones_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "orthogonal_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "profiler"
    mtype: "<type \'module\'>"
  }
  member {
    name: "python_io"
    mtype: "<type \'module\'>"
  }
  member {
    name: "pywrap_tensorflow"
    mtype: "<type \'module\'>"
  }
  member {
    name: "qint16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "qint32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "qint8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "quantization"
    mtype: "<type \'module\'>"
  }
  member {
    name: "queue"
    mtype: "<type \'module\'>"
  }
  member {
    name: "quint16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "quint8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "ragged"
    mtype: "<type \'module\'>"
  }
  member {
    name: "random"
    mtype: "<type \'module\'>"
  }
  member {
    name: "random_normal_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "random_uniform_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "raw_ops"
    mtype: "<type \'module\'>"
  }
  member {
    name: "resource"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "resource_loader"
    mtype: "<type \'module\'>"
  }
  member {
    name: "saved_model"
    mtype: "<type \'module\'>"
  }
  member {
    name: "sets"
    mtype: "<type \'module\'>"
  }
  member {
    name: "signal"
    mtype: "<type \'module\'>"
  }
  member {
    name: "sparse"
    mtype: "<type \'module\'>"
  }
  member {
    name: "spectral"
    mtype: "<type \'module\'>"
  }
  member {
    name: "string"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "strings"
    mtype: "<type \'module\'>"
  }
  member {
    name: "summary"
    mtype: "<type \'module\'>"
  }
  member {
    name: "sysconfig"
    mtype: "<type \'module\'>"
  }
  member {
    name: "test"
    mtype: "<type \'module\'>"
  }
  member {
    name: "tpu"
    mtype: "<type \'module\'>"
  }
  member {
    name: "train"
    mtype: "<type \'module\'>"
  }
  member {
    name: "truncated_normal_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "uint16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "uint32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "uint64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "uint8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "uniform_unit_scaling_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "user_ops"
    mtype: "<type \'module\'>"
  }
  member {
    name: "variable_scope"
    mtype: "<type \'type\'>"
  }
  member {
    name: "variance_scaling_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "variant"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "version"
    mtype: "<type \'module\'>"
  }
  member {
    name: "xla"
    mtype: "<type \'module\'>"
  }
  member {
    name: "zeros_initializer"
    mtype: "<type \'type\'>"
  }
  member_method {
    name: "Assert"
    argspec: "args=[\'condition\', \'data\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "NoGradient"
    argspec: "args=[\'op_type\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "NotDifferentiable"
    argspec: "args=[\'op_type\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "Print"
    argspec: "args=[\'input_\', \'data\', \'message\', \'first_n\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "abs"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "accumulate_n"
    argspec: "args=[\'inputs\', \'shape\', \'tensor_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "acos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "acosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "add"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "add_check_numerics_ops"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "add_n"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "add_to_collection"
    argspec: "args=[\'name\', \'value\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "add_to_collections"
    argspec: "args=[\'names\', \'value\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "all_variables"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "angle"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "arg_max"
    argspec: "args=[\'input\', \'dimension\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "arg_min"
    argspec: "args=[\'input\', \'dimension\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "argmax"
    argspec: "args=[\'input\', \'axis\', \'name\', \'dimension\', \'output_type\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'int64\'>\"], "
  }
  member_method {
    name: "argmin"
    argspec: "args=[\'input\', \'axis\', \'name\', \'dimension\', \'output_type\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'int64\'>\"], "
  }
  member_method {
    name: "argsort"
    argspec: "args=[\'values\', \'axis\', \'direction\', \'stable\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'ASCENDING\', \'False\', \'None\'], "
  }
  member_method {
    name: "as_dtype"
    argspec: "args=[\'type_value\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "as_string"
    argspec: "args=[\'input\', \'precision\', \'scientific\', \'shortest\', \'width\', \'fill\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'False\', \'False\', \'-1\', \'\', \'None\'], "
  }
  member_method {
    name: "asin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "asinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "assert_equal"
    argspec: "args=[\'x\', \'y\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_greater"
    argspec: "args=[\'x\', \'y\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_greater_equal"
    argspec: "args=[\'x\', \'y\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_integer"
    argspec: "args=[\'x\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "assert_less"
    argspec: "args=[\'x\', \'y\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_less_equal"
    argspec: "args=[\'x\', \'y\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_near"
    argspec: "args=[\'x\', \'y\', \'rtol\', \'atol\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_negative"
    argspec: "args=[\'x\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_non_negative"
    argspec: "args=[\'x\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_non_positive"
    argspec: "args=[\'x\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_none_equal"
    argspec: "args=[\'x\', \'y\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_positive"
    argspec: "args=[\'x\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_proper_iterable"
    argspec: "args=[\'values\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "assert_rank"
    argspec: "args=[\'x\', \'rank\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_rank_at_least"
    argspec: "args=[\'x\', \'rank\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_rank_in"
    argspec: "args=[\'x\', \'ranks\', \'data\', \'summarize\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_same_float_dtype"
    argspec: "args=[\'tensors\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "assert_scalar"
    argspec: "args=[\'tensor\', \'name\', \'message\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "assert_type"
    argspec: "args=[\'tensor\', \'tf_type\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "assert_variables_initialized"
    argspec: "args=[\'var_list\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "assign"
    argspec: "args=[\'ref\', \'value\', \'validate_shape\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assign_add"
    argspec: "args=[\'ref\', \'value\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "assign_sub"
    argspec: "args=[\'ref\', \'value\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "atan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "atan2"
    argspec: "args=[\'y\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "atanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "batch_gather"
    argspec: "args=[\'params\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "batch_scatter_update"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "batch_to_space"
    argspec: "args=[\'input\', \'crops\', \'block_size\', \'name\', \'block_shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "batch_to_space_nd"
    argspec: "args=[\'input\', \'block_shape\', \'crops\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "betainc"
    argspec: "args=[\'a\', \'b\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "bincount"
    argspec: "args=[\'arr\', \'weights\', \'minlength\', \'maxlength\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'int32\'>\"], "
  }
  member_method {
    name: "bitcast"
    argspec: "args=[\'input\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "boolean_mask"
    argspec: "args=[\'tensor\', \'mask\', \'name\', \'axis\'], varargs=None, keywords=None, defaults=[\'boolean_mask\', \'None\'], "
  }
  member_method {
    name: "broadcast_dynamic_shape"
    argspec: "args=[\'shape_x\', \'shape_y\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "broadcast_static_shape"
    argspec: "args=[\'shape_x\', \'shape_y\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "broadcast_to"
    argspec: "args=[\'input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "case"
    argspec: "args=[\'pred_fn_pairs\', \'default\', \'exclusive\', \'strict\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\', \'case\'], "
  }
  member_method {
    name: "cast"
    argspec: "args=[\'x\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ceil"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "check_numerics"
    argspec: "args=[\'tensor\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cholesky"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cholesky_solve"
    argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "clip_by_average_norm"
    argspec: "args=[\'t\', \'clip_norm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "clip_by_global_norm"
    argspec: "args=[\'t_list\', \'clip_norm\', \'use_norm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "clip_by_norm"
    argspec: "args=[\'t\', \'clip_norm\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "clip_by_value"
    argspec: "args=[\'t\', \'clip_value_min\', \'clip_value_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "colocate_with"
    argspec: "args=[\'op\', \'ignore_existing\'], varargs=None, keywords=None, defaults=[\'False\'], "
  }
  member_method {
    name: "combined_non_max_suppression"
    argspec: "args=[\'boxes\', \'scores\', \'max_output_size_per_class\', \'max_total_size\', \'iou_threshold\', \'score_threshold\', \'pad_per_class\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "complex"
    argspec: "args=[\'real\', \'imag\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "concat"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'concat\'], "
  }
  member_method {
    name: "cond"
    argspec: "args=[\'pred\', \'true_fn\', \'false_fn\', \'strict\', \'name\', \'fn1\', \'fn2\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "confusion_matrix"
    argspec: "args=[\'labels\', \'predictions\', \'num_classes\', \'dtype\', \'name\', \'weights\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "conj"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "constant"
    argspec: "args=[\'value\', \'dtype\', \'shape\', \'name\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Const\', \'False\'], "
  }
  member_method {
    name: "container"
    argspec: "args=[\'container_name\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "control_dependencies"
    argspec: "args=[\'control_inputs\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "convert_to_tensor"
    argspec: "args=[\'value\', \'dtype\', \'name\', \'preferred_dtype\', \'dtype_hint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "convert_to_tensor_or_indexed_slices"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "convert_to_tensor_or_sparse_tensor"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "cos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "count_nonzero"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'dtype\', \'name\', \'reduction_indices\', \'keep_dims\', \'input\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'int64\'>\", \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "count_up_to"
    argspec: "args=[\'ref\', \'limit\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "create_partitioned_variables"
    argspec: "args=[\'shape\', \'slicing\', \'initializer\', \'dtype\', \'trainable\', \'collections\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'True\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "cross"
    argspec: "args=[\'a\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cumprod"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "cumsum"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "custom_gradient"
    argspec: "args=[\'f\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "decode_base64"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "decode_compressed"
    argspec: "args=[\'bytes\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "decode_csv"
    argspec: "args=[\'records\', \'record_defaults\', \'field_delim\', \'use_quote_delim\', \'name\', \'na_value\', \'select_cols\'], varargs=None, keywords=None, defaults=[\',\', \'True\', \'None\', \'\', \'None\'], "
  }
  member_method {
    name: "decode_json_example"
    argspec: "args=[\'json_examples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "decode_raw"
    argspec: "args=[\'bytes\', \'out_type\', \'little_endian\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "delete_session_tensor"
    argspec: "args=[\'handle\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "depth_to_space"
    argspec: "args=[\'input\', \'block_size\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'NHWC\'], "
  }
  member_method {
    name: "dequantize"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'mode\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\'], "
  }
  member_method {
    name: "deserialize_many_sparse"
    argspec: "args=[\'serialized_sparse\', \'dtype\', \'rank\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "device"
    argspec: "args=[\'device_name_or_function\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "diag"
    argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "diag_part"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "digamma"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "dimension_at_index"
    argspec: "args=[\'shape\', \'index\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "dimension_value"
    argspec: "args=[\'dimension\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "disable_eager_execution"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "disable_resource_variables"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "disable_v2_behavior"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "disable_v2_tensorshape"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "div"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "div_no_nan"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "divide"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "dynamic_partition"
    argspec: "args=[\'data\', \'partitions\', \'num_partitions\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "dynamic_stitch"
    argspec: "args=[\'indices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "edit_distance"
    argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'edit_distance\'], "
  }
  member_method {
    name: "einsum"
    argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "enable_eager_execution"
    argspec: "args=[\'config\', \'device_policy\', \'execution_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "enable_resource_variables"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "enable_v2_behavior"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "enable_v2_tensorshape"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "encode_base64"
    argspec: "args=[\'input\', \'pad\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "ensure_shape"
    argspec: "args=[\'x\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "erf"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "erfc"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "executing_eagerly"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "exp"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "expand_dims"
    argspec: "args=[\'input\', \'axis\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "expm1"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "extract_image_patches"
    argspec: "args=[\'images\', \'ksizes\', \'strides\', \'rates\', \'padding\', \'name\', \'sizes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "extract_volume_patches"
    argspec: "args=[\'input\', \'ksizes\', \'strides\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "eye"
    argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_args"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_args_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_per_channel"
    argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fake_quant_with_min_max_vars_per_channel_gradient"
    argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], "
  }
  member_method {
    name: "fft"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fft2d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fft3d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fill"
    argspec: "args=[\'dims\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fixed_size_partitioner"
    argspec: "args=[\'num_shards\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], "
  }
  member_method {
    name: "floor"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "floor_div"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "floordiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "floormod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "foldl"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "foldr"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "function"
    argspec: "args=[\'func\', \'input_signature\', \'autograph\', \'experimental_autograph_options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'None\'], "
  }
  member_method {
    name: "gather"
    argspec: "args=[\'params\', \'indices\', \'validate_indices\', \'name\', \'axis\', \'batch_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'0\'], "
  }
  member_method {
    name: "gather_nd"
    argspec: "args=[\'params\', \'indices\', \'name\', \'batch_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'0\'], "
  }
  member_method {
    name: "get_collection"
    argspec: "args=[\'key\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "get_collection_ref"
    argspec: "args=[\'key\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_default_graph"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_default_session"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_local_variable"
    argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
  }
  member_method {
    name: "get_logger"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_seed"
    argspec: "args=[\'op_seed\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_session_handle"
    argspec: "args=[\'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "get_session_tensor"
    argspec: "args=[\'handle\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "get_static_value"
    argspec: "args=[\'tensor\', \'partial\'], varargs=None, keywords=None, defaults=[\'False\'], "
  }
  member_method {
    name: "get_variable"
    argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
  }
  member_method {
    name: "get_variable_scope"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "global_norm"
    argspec: "args=[\'t_list\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "global_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "global_variables_initializer"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "gradients"
    argspec: "args=[\'ys\', \'xs\', \'grad_ys\', \'name\', \'colocate_gradients_with_ops\', \'gate_gradients\', \'aggregation_method\', \'stop_gradients\', \'unconnected_gradients\'], varargs=None, keywords=None, defaults=[\'None\', \'gradients\', \'False\', \'False\', \'None\', \'None\', \'UnconnectedGradients.NONE\'], "
  }
  member_method {
    name: "greater"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "greater_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "group"
    argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "guarantee_const"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "hessians"
    argspec: "args=[\'ys\', \'xs\', \'name\', \'colocate_gradients_with_ops\', \'gate_gradients\', \'aggregation_method\'], varargs=None, keywords=None, defaults=[\'hessians\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "histogram_fixed_width"
    argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "histogram_fixed_width_bins"
    argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "identity"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "identity_n"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ifft"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ifft2d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "ifft3d"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "igamma"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "igammac"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "imag"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "import_graph_def"
    argspec: "args=[\'graph_def\', \'input_map\', \'return_elements\', \'name\', \'op_dict\', \'producer_op_list\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "init_scope"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "initialize_all_tables"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'init_all_tables\'], "
  }
  member_method {
    name: "initialize_all_variables"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "initialize_local_variables"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "initialize_variables"
    argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], "
  }
  member_method {
    name: "invert_permutation"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "is_finite"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "is_inf"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "is_nan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "is_non_decreasing"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "is_numeric_tensor"
    argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "is_strictly_increasing"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "is_tensor"
    argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "is_variable_initialized"
    argspec: "args=[\'variable\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "lbeta"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "less"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "less_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "lgamma"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "lin_space"
    argspec: "args=[\'start\', \'stop\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "linspace"
    argspec: "args=[\'start\', \'stop\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "load_file_system_library"
    argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "load_library"
    argspec: "args=[\'library_location\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "load_op_library"
    argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "local_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "local_variables_initializer"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "log"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "log1p"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "log_sigmoid"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_and"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_not"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_or"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_xor"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'LogicalXor\'], "
  }
  member_method {
    name: "make_ndarray"
    argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "make_template"
    argspec: "args=[\'name_\', \'func_\', \'create_scope_now_\', \'unique_name_\', \'custom_getter_\'], varargs=None, keywords=kwargs, defaults=[\'False\', \'None\', \'None\'], "
  }
  member_method {
    name: "make_tensor_proto"
    argspec: "args=[\'values\', \'dtype\', \'shape\', \'verify_shape\', \'allow_broadcast\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'False\'], "
  }
  member_method {
    name: "map_fn"
    argspec: "args=[\'fn\', \'elems\', \'dtype\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "matching_files"
    argspec: "args=[\'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matmul"
    argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'adjoint_a\', \'adjoint_b\', \'a_is_sparse\', \'b_is_sparse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "matrix_band_part"
    argspec: "args=[\'input\', \'num_lower\', \'num_upper\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matrix_determinant"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matrix_diag"
    argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matrix_diag_part"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matrix_inverse"
    argspec: "args=[\'input\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "matrix_set_diag"
    argspec: "args=[\'input\', \'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matrix_solve"
    argspec: "args=[\'matrix\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "matrix_solve_ls"
    argspec: "args=[\'matrix\', \'rhs\', \'l2_regularizer\', \'fast\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'True\', \'None\'], "
  }
  member_method {
    name: "matrix_square_root"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matrix_transpose"
    argspec: "args=[\'a\', \'name\', \'conjugate\'], varargs=None, keywords=None, defaults=[\'matrix_transpose\', \'False\'], "
  }
  member_method {
    name: "matrix_triangular_solve"
    argspec: "args=[\'matrix\', \'rhs\', \'lower\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "maximum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "meshgrid"
    argspec: "args=[], varargs=args, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "min_max_variable_partitioner"
    argspec: "args=[\'max_partitions\', \'axis\', \'min_slice_size\', \'bytes_per_string_element\'], varargs=None, keywords=None, defaults=[\'1\', \'0\', \'262144\', \'16\'], "
  }
  member_method {
    name: "minimum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "mod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "model_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "moving_average_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "multinomial"
    argspec: "args=[\'logits\', \'num_samples\', \'seed\', \'name\', \'output_dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "multiply"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "negative"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "no_gradient"
    argspec: "args=[\'op_type\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "no_op"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "no_regularizer"
    argspec: "args=[\'_\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "norm"
    argspec: "args=[\'tensor\', \'ord\', \'axis\', \'keepdims\', \'name\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'euclidean\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "not_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "one_hot"
    argspec: "args=[\'indices\', \'depth\', \'on_value\', \'off_value\', \'axis\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "ones"
    argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "ones_like"
    argspec: "args=[\'tensor\', \'dtype\', \'name\', \'optimize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
  }
  member_method {
    name: "op_scope"
    argspec: "args=[\'values\', \'name\', \'default_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "pad"
    argspec: "args=[\'tensor\', \'paddings\', \'mode\', \'name\', \'constant_values\'], varargs=None, keywords=None, defaults=[\'CONSTANT\', \'None\', \'0\'], "
  }
  member_method {
    name: "parallel_stack"
    argspec: "args=[\'values\', \'name\'], varargs=None, keywords=None, defaults=[\'parallel_stack\'], "
  }
  member_method {
    name: "parse_example"
    argspec: "args=[\'serialized\', \'features\', \'name\', \'example_names\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "parse_single_example"
    argspec: "args=[\'serialized\', \'features\', \'name\', \'example_names\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "parse_single_sequence_example"
    argspec: "args=[\'serialized\', \'context_features\', \'sequence_features\', \'example_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "parse_tensor"
    argspec: "args=[\'serialized\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "placeholder"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "placeholder_with_default"
    argspec: "args=[\'input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "polygamma"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "pow"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "print"
    argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "py_func"
    argspec: "args=[\'func\', \'inp\', \'Tout\', \'stateful\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "py_function"
    argspec: "args=[\'func\', \'inp\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "qr"
    argspec: "args=[\'input\', \'full_matrices\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "quantize"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'T\', \'mode\', \'round_mode\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'HALF_AWAY_FROM_ZERO\', \'None\'], "
  }
  member_method {
    name: "quantize_v2"
    argspec: "args=[\'input\', \'min_range\', \'max_range\', \'T\', \'mode\', \'name\', \'round_mode\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\', \'HALF_AWAY_FROM_ZERO\'], "
  }
  member_method {
    name: "quantized_concat"
    argspec: "args=[\'concat_dim\', \'values\', \'input_mins\', \'input_maxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "random_crop"
    argspec: "args=[\'value\', \'size\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "random_gamma"
    argspec: "args=[\'shape\', \'alpha\', \'beta\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "random_normal"
    argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "random_poisson"
    argspec: "args=[\'lam\', \'shape\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "random_shuffle"
    argspec: "args=[\'value\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "random_uniform"
    argspec: "args=[\'shape\', \'minval\', \'maxval\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "range"
    argspec: "args=[\'start\', \'limit\', \'delta\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'range\'], "
  }
  member_method {
    name: "rank"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "read_file"
    argspec: "args=[\'filename\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "real"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "realdiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reciprocal"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reduce_all"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_any"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_join"
    argspec: "args=[\'inputs\', \'axis\', \'keep_dims\', \'separator\', \'name\', \'reduction_indices\', \'keepdims\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_logsumexp"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_max"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_mean"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_min"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_prod"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_sum"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "regex_replace"
    argspec: "args=[\'input\', \'pattern\', \'rewrite\', \'replace_global\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "register_tensor_conversion_function"
    argspec: "args=[\'base_type\', \'conversion_func\', \'priority\'], varargs=None, keywords=None, defaults=[\'100\'], "
  }
  member_method {
    name: "report_uninitialized_variables"
    argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'report_uninitialized_variables\'], "
  }
  member_method {
    name: "required_space_to_batch_paddings"
    argspec: "args=[\'input_shape\', \'block_shape\', \'base_paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "reset_default_graph"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "reshape"
    argspec: "args=[\'tensor\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "resource_variables_enabled"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "reverse"
    argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reverse_sequence"
    argspec: "args=[\'input\', \'seq_lengths\', \'seq_axis\', \'batch_axis\', \'name\', \'seq_dim\', \'batch_dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reverse_v2"
    argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "rint"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "roll"
    argspec: "args=[\'input\', \'shift\', \'axis\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "round"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "rsqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "saturate_cast"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "scalar_mul"
    argspec: "args=[\'scalar\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "scan"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "scatter_add"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_div"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_max"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_min"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_mul"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_nd"
    argspec: "args=[\'indices\', \'updates\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "scatter_nd_add"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_nd_sub"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_nd_update"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "scatter_sub"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], "
  }
  member_method {
    name: "scatter_update"
    argspec: "args=[\'ref\', \'indices\', \'updates\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "searchsorted"
    argspec: "args=[\'sorted_sequence\', \'values\', \'side\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'left\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "segment_max"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_mean"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_min"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_prod"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "segment_sum"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "self_adjoint_eig"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "self_adjoint_eigvals"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sequence_mask"
    argspec: "args=[\'lengths\', \'maxlen\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'bool\'>\", \'None\'], "
  }
  member_method {
    name: "serialize_many_sparse"
    argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'string\'>\"], "
  }
  member_method {
    name: "serialize_sparse"
    argspec: "args=[\'sp_input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'string\'>\"], "
  }
  member_method {
    name: "serialize_tensor"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "set_random_seed"
    argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "setdiff1d"
    argspec: "args=[\'x\', \'y\', \'index_dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "shape"
    argspec: "args=[\'input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\"], "
  }
  member_method {
    name: "shape_n"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "sigmoid"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sign"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "size"
    argspec: "args=[\'input\', \'name\', \'out_type\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int32\'>\"], "
  }
  member_method {
    name: "slice"
    argspec: "args=[\'input_\', \'begin\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sort"
    argspec: "args=[\'values\', \'axis\', \'direction\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'ASCENDING\', \'None\'], "
  }
  member_method {
    name: "space_to_batch"
    argspec: "args=[\'input\', \'paddings\', \'block_size\', \'name\', \'block_shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "space_to_batch_nd"
    argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "space_to_depth"
    argspec: "args=[\'input\', \'block_size\', \'name\', \'data_format\'], varargs=None, keywords=None, defaults=[\'None\', \'NHWC\'], "
  }
  member_method {
    name: "sparse_add"
    argspec: "args=[\'a\', \'b\', \'threshold\', \'thresh\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_concat"
    argspec: "args=[\'axis\', \'sp_inputs\', \'name\', \'expand_nonconcat_dim\', \'concat_dim\', \'expand_nonconcat_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'None\'], "
  }
  member_method {
    name: "sparse_fill_empty_rows"
    argspec: "args=[\'sp_input\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_mask"
    argspec: "args=[\'a\', \'mask_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_matmul"
    argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'a_is_sparse\', \'b_is_sparse\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_maximum"
    argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_merge"
    argspec: "args=[\'sp_ids\', \'sp_values\', \'vocab_size\', \'name\', \'already_sorted\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
  }
  member_method {
    name: "sparse_minimum"
    argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_placeholder"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_max"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_max_sparse"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_sum"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "sparse_reduce_sum_sparse"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "sparse_reorder"
    argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_reset_shape"
    argspec: "args=[\'sp_input\', \'new_shape\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_reshape"
    argspec: "args=[\'sp_input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_retain"
    argspec: "args=[\'sp_input\', \'to_retain\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "sparse_segment_mean"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_segment_sqrt_n"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_segment_sum"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "sparse_slice"
    argspec: "args=[\'sp_input\', \'start\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_softmax"
    argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_split"
    argspec: "args=[\'keyword_required\', \'sp_input\', \'num_split\', \'axis\', \'name\', \'split_dim\'], varargs=None, keywords=None, defaults=[\'KeywordRequired()\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "sparse_tensor_dense_matmul"
    argspec: "args=[\'sp_a\', \'b\', \'adjoint_a\', \'adjoint_b\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "sparse_tensor_to_dense"
    argspec: "args=[\'sp_input\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "sparse_to_dense"
    argspec: "args=[\'sparse_indices\', \'output_shape\', \'sparse_values\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "sparse_to_indicator"
    argspec: "args=[\'sp_input\', \'vocab_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_transpose"
    argspec: "args=[\'sp_input\', \'perm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "split"
    argspec: "args=[\'value\', \'num_or_size_splits\', \'axis\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'split\'], "
  }
  member_method {
    name: "sqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "square"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "squared_difference"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "squeeze"
    argspec: "args=[\'input\', \'axis\', \'name\', \'squeeze_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "stack"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'stack\'], "
  }
  member_method {
    name: "stop_gradient"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "strided_slice"
    argspec: "args=[\'input_\', \'begin\', \'end\', \'strides\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'var\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'0\', \'0\', \'0\', \'0\', \'None\', \'None\'], "
  }
  member_method {
    name: "string_join"
    argspec: "args=[\'inputs\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], "
  }
  member_method {
    name: "string_split"
    argspec: "args=[\'source\', \'sep\', \'skip_empty\', \'delimiter\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\'], "
  }
  member_method {
    name: "string_strip"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "string_to_hash_bucket"
    argspec: "args=[\'string_tensor\', \'num_buckets\', \'name\', \'input\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "string_to_hash_bucket_fast"
    argspec: "args=[\'input\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "string_to_hash_bucket_strong"
    argspec: "args=[\'input\', \'num_buckets\', \'key\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "string_to_number"
    argspec: "args=[\'string_tensor\', \'out_type\', \'name\', \'input\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "substr"
    argspec: "args=[\'input\', \'pos\', \'len\', \'name\', \'unit\'], varargs=None, keywords=None, defaults=[\'None\', \'BYTE\'], "
  }
  member_method {
    name: "subtract"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "svd"
    argspec: "args=[\'tensor\', \'full_matrices\', \'compute_uv\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], "
  }
  member_method {
    name: "tables_initializer"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'init_all_tables\'], "
  }
  member_method {
    name: "tan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_add"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_add"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_sub"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_update"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_sub"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_update"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensordot"
    argspec: "args=[\'a\', \'b\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tile"
    argspec: "args=[\'input\', \'multiples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "timestamp"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "to_bfloat16"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToBFloat16\'], "
  }
  member_method {
    name: "to_complex128"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToComplex128\'], "
  }
  member_method {
    name: "to_complex64"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToComplex64\'], "
  }
  member_method {
    name: "to_double"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToDouble\'], "
  }
  member_method {
    name: "to_float"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToFloat\'], "
  }
  member_method {
    name: "to_int32"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToInt32\'], "
  }
  member_method {
    name: "to_int64"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'ToInt64\'], "
  }
  member_method {
    name: "trace"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "trainable_variables"
    argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "transpose"
    argspec: "args=[\'a\', \'perm\', \'name\', \'conjugate\'], varargs=None, keywords=None, defaults=[\'None\', \'transpose\', \'False\'], "
  }
  member_method {
    name: "truediv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "truncated_normal"
    argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "truncatediv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "truncatemod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tuple"
    argspec: "args=[\'tensors\', \'name\', \'control_inputs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "unique"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "unique_with_counts"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "unravel_index"
    argspec: "args=[\'indices\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_max"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_mean"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_min"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_prod"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_sqrt_n"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_sum"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unstack"
    argspec: "args=[\'value\', \'num\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'unstack\'], "
  }
  member_method {
    name: "variable_axis_size_partitioner"
    argspec: "args=[\'max_shard_bytes\', \'axis\', \'bytes_per_string_element\', \'max_shards\'], varargs=None, keywords=None, defaults=[\'0\', \'16\', \'None\'], "
  }
  member_method {
    name: "variable_creator_scope"
    argspec: "args=[\'variable_creator\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "variable_op_scope"
    argspec: "args=[\'values\', \'name_or_scope\', \'default_name\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'reuse\', \'dtype\', \'use_resource\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "variables_initializer"
    argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], "
  }
  member_method {
    name: "verify_tensor_all_finite"
    argspec: "args=[\'t\', \'msg\', \'name\', \'x\', \'message\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "where"
    argspec: "args=[\'condition\', \'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "while_loop"
    argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\', \'maximum_iterations\', \'return_same_structure\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\', \'False\'], "
  }
  member_method {
    name: "wrap_function"
    argspec: "args=[\'fn\', \'signature\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "write_file"
    argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "zeros"
    argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "zeros_like"
    argspec: "args=[\'tensor\', \'dtype\', \'name\', \'optimize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
  }
  member_method {
    name: "zeta"
    argspec: "args=[\'x\', \'q\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}
